Background: Autism spectrum disorder (ASD) is characterized by impairments in social interaction and communication, restricted patterns of behavior, and unusual sensory sensitivities. Symptoms of autism occur in some infants, while some children are diagnosed in 2-3 years. There was a direct and indirect relationship between the dental caries and the physical growth among children. The study purpose was to determine the oral health and the body growth status among children with Autism spectrum disorder. Methods: The study population consisted of 53 children, who were diagnosed as “ASD” and approved by psychiatrist between the age of 3-18. The dental examination was done under recommendation by WHO (2013) and oral hygiene index was calculated by FedorovVolodkina (1973). Body growth status was evaluated by Kaup and Rohrer’s index. The results of the study were processed using statistical Stata-21 software. Results: The prevalence of dental caries among all children with Autism spectrum disorder was 88.6% and mean DMFT score were 2.6±3.0 in the primary dentition, 6.1±3.8 in the mixed and 4.0±2.3 in the permanent dentition. Children with good oral hygiene index were 32% of all study population and poor were 68%. When we assessed the body growth status, normal weight children were 52.8%, overweight children were 18.9% and lower weight was 28.3% of all study poptulation. Conclusion We have found that the oral health and the body growth status among children with ASD were poor.

Introduction: The traditional microscopic method is to visually count the elements in the urine, but it is difficult to distinguish between the cells because they are not stained. Sternheimer Malbin staining, on the other hand, contains a variety of dyes that help to distinguish elements in urine sediment, improve the differentiation between cell nuclei and cytoplasm, provide more information about cell shape and image, and make it easier to differentiate kidney disease. Objective: To study the results of the reading of a fully automatic urine sediment analyzer of compared with the Sternheimer Malbin stained bright field microscope method. Research materials and methods: In this study included 150 people who served the MJTH of the MNUMS received permission to participate in the research. The urine sample collected in accordance with the standard operating instructions was counted by a fully automated analyzer and stained with Sternheimer Malbin dye and counted red cells (RBC), white blood cells (WBC), epithelial cells (EC), and renal epithelium (RTEC) under a microscope using a Fuchs-Rosenthal chamber. Results: 23.3% (n=35) of the respondents were male, 76.6% (n=115) were female, and the average age was 44.3±11.6. There 16.6% (25)/9.3% (14) of the RBCs were counted in excess of the reference volume when analyzed under an microscope stained with an automated urine sediment analyzer and Sternheimer-Malbin dye. For each WBC method, 45.4% (68)/41 (61)% and EC 24.7% (37)/23.3% (35) were counted above the reference volume. 90% (135)/32% (48) of the total samples were counted in excess of the RTEC reference volume. Comparing the performance of the automatic urine sediment analyzer with the light microscope method, the sensitivity and specificity were RBC-99.8%/99.1%, WBC-99.3%/99.6%, EC-99.7%/99.2, and RTEC-99.1%/99.2%. False-positive and false-negative results were rated for each RBC-99.9%/99.1%, WBC-99.3%/99.6%, EC 99.8%/99.2%, and RTEC-99.7%/99.9%, respectively. The positive likelihood ratio was RBC, WBC, RTEC 1.0, or the test was useless, while the negative likelihood ratio was RBC was very different, WBC was slightly different, EC was very different, and RTEC was very different. Positive and negative predictive value indicators RBC-99.3%/99.4%, WBC-99.4%/99.4%, EC-99.4%/99.5, RTEC-99.2%/99.1%, optimality for RBC, WBC, EC 99.4%, RTEC -99.1%. Conclusion
1. The results of an automated urine sediment analyzer and a bright field microscope stained by Sternheimer Malbin were similar for red blood cells, white blood cells, and epithelial cells, but different for renal tubular epithelial cells.
2. The resuls UF-5000 analyzer and bright field microscope analysis using Sternheimer Malbin dye were comparable.

Background: Chronic kidney disease (CKD) is a global health problem. In Mongolia, urine is analyzed by methods of urine chemistry and urine sediment to diagnose kidney disease. The currently automated urine sediment analyzers have been widely used in clinical laboratories and are replacing traditional manual microscopic examination. Nonetheless, visual microscopic examination is still required in many cases. When chemical and sediment analyzers are used together, urine sediment could be confirmed under a microscope, if the results are inconsistent. Sternheimer-Malbin stain has contained a variety of dyes that help to distinguish particles (white blood cells, red blood cells, epithelial cells, casts, crystals, fatty drops, bacteria, yeast, trichomonas) in urine sediment, improve the differentiation between cell nuclei and cytoplasm, and provide more information about cell shape and image.
Therefore, the low-cost method that can be used on a daily basis.Although there are more than 4,500 laboratories in Mongolia that need to perform urinalysis, which is an important part of clinical laboratories, less than 10 percent of hospitals have fully automated sediment analyzers. For this reason, one of the most important issues in the clinical laboratories, the search for low-cost and useful methods for the analysis of urine sediments in order to provide access to services to the public. Our aim was the comparison of methods of the microscopic examination with Shternheimer-Malbin stain and fully automated UF-5000 analyzer for urine sediment. Methods: There was a comparative study, people who served the Clinical Central Laboratory of Mongolia-Japan Hospital received permission to participate in this research. One hundred five fresh, first morning, clean catch mid-stream urine samples were collected in accordance with standard operating instructions for urinalysis, between November 2020 and May 2021. Sternheimer-Malbin (SM) staining and direct microscopy observation methods with Fuchs-Rosenthal counting chamber were used to red blood cells (RBC), white blood cells (WBC) and epithelial cells (EC) in urine samples. The agreements between the automated urine analyzer and microscopic methods were calculated using Cohen’s kappa (k) with 95% confidence intervals (CI). Results: A total of 105 samples were collected and analysed in this study. The average age was 46.97±15.0and gender by 18% (n=19)were male and 82% (n=86) were female.
Compared to traditional manual methods and automated analyzer, the agreement within the same grade was 99/105 (94.3%) for erythrocytes, 96/105 (91.4%) for leukocytes, 92/105 (87.6%) for epithelial cells. And compared to Sternheimer-Malbin staining microscopy observation and automated analyzer, the agreement within the same grade was 98/105 (93.3%) for erythrocytes, 99/105 (94.3%) for leukocytes, 96/105 (91.4%) for epithelial cells. Agreement between traditional manual method and automated analyzer was higher than 85% and between Sternheimer-Malbin staining microscopy observation and automated analyzer was higher than 90%. The concordance between traditional manual method and automated analyzer was substantial (k=0.74, p<0.001; k=0.79, p<0.001) for RBC and EC, almost perfect (k=0.92, p<0.001) for WBC. Whereas the concordance between SternheimerMalbin staining microscopy observation and automated analyzer was substantial (k=0.70, p<0.001) for RBC, almost perfect (k=0.94, p<0.001; k=0.89, p<0.001) for WBC and EC. Comparison of Sysmex UF-5000 with microscopic particle counting methods resulted specificity was 98.9/100% for RBC, sensitivity was 97.7/95.3% and negative predictive value was 98.4/96.8% for WBC, sensitivity was 87.5/68.8% and negative predictive value was 97.8/94.7% for EC. Conclusion The Cohen’s k analysis result of comparisons between the SternheimerMalbin staining microscopic method and automated urine sediment analyzer showed significant almost perfect agreement (k=0.70-0.94, p<0.001).
The sensitivity and negative predictive value were high for both of WBC and EC were determined by Sternheimer-Malbin (SM) staining microscopy observation method. Results indicate the ability of a test to correctly identify those with the true positive and individual with a negative test result is truly negative better than comparison of Sysmex UF-5000 with traditional manual microscopic method assessment.